Manager, Machine Learning Job at Viant (Irvine)

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Sr. Manager, Machine Learning

Roku is changing how the world watches TV... The person in this role will levera...

Location

India , Bengaluru

Salary:

Not provided

Roku

Expiration Date

Until further notice

Requirements

10+ years of total experience in software/ML engineering, with at least 5 years in a dedicated people management leadership role
MS or BS in Computer Science, Mathematics, or a related quantitative field
deep theoretical and practical understanding of Machine Learning
understanding the business of streaming and how ML directly impacts the bottom line
ability to explain complex model to non-technical executives
proven track record of deploying large-scale ML models into production environments
experience with modern ML stacks (e.g., LLMs, PyTorch, TensorFlow, Spark, and cloud-native MLOps tools)

Job Responsibility

Define the roadmap for ML within the Content Platform
Provide high-level guidance on model architecture and MLOps infrastructure
Lead and grow high-performing team of ML Engineers
Partner with Product, Engineering, and Content Strategy to align ML initiatives with business goals
Champion a culture of incremental delivery
Balance long-term R&D with measurable improvements

What we offer

global access to mental health and financial wellness support
healthcare (medical, dental, and vision)
life
accident
disability
commuter
retirement options (401(k)/pension)
time off in accordance with local leave policies

Fulltime

Engineering Manager, Machine Learning

We are looking for an Engineering Manager, Machine Learning to lead a team of ML...

Location

India , Bengaluru

Salary:

Not provided

Roku

Expiration Date

Until further notice

Requirements

10+ years of experience in machine learning engineering, with a strong track record of shipping models to production in consumer-facing products (recommendations, search, ads, personalization, or similar domains)
Experience managing an ML or software engineering team
BS/MS in Computer Science, Mathematics, Statistics, or a related quantitative field
Deep expertise in recommendation system architectures, deep neural networks, and ranking models
Strong software engineering fundamentals and experience writing production-quality code
Experience with large-scale ML tooling and infrastructure: PyTorch/TensorFlow, Spark, Airflow, cloud-native MLOps platforms
Experience with multi-objective optimization, reinforcement learning, or Bayesian methods in production settings
Familiarity with LLM-based approaches for recommendations, content understanding, or generative personalization
Demonstrated ability to connect ML work to measurable product and business outcomes
Experience building and scaling ML teams in a distributed or multi-site setting

Job Responsibility

Lead, mentor, and grow a team of ML engineers
foster a culture of technical excellence, ownership, and collaboration
Set the technical roadmap, aligning priorities across the team and within the broader Recommendations organization
Drive system design and architecture decisions for ML models powering content ranking, user modeling, multi-objective optimization, and personalization across Roku's key surfaces
Provide technical leadership on model architecture choices, training and serving infrastructure, and evaluation methodologies
Own the A/B experimentation and measurement strategy for your team's surfaces
ensure ML work is tied to measurable product and business outcomes
Champion the adoption of generative AI to push the boundaries of recommendation and personalization
Partner with Product, Engineering, and cross-functional stakeholders to translate business goals into ML solutions
Recruit and develop ML talent in Bengaluru

What we offer

Global access to mental health and financial wellness support and resources
Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision)
Life, accident, disability, commuter, and retirement options (401(k)/pension)
Employees are supported in taking time off, in accordance with local leave policies and other personal needs

Fulltime

Senior Manager, Machine Learning Platform

We are seeking an experienced Sr. Manager, Machine Learning Platform to lead and...

Location

United States , Mountain View

Salary:

348913.00 USD / Year

EarnIn

Expiration Date

Until further notice

Requirements

MS or Ph.D. degree in Computer Science, Statistics, or a related technical field, or equivalent work experience
5+ years of experience in Engineering or Scientific domains
5+ years of experience as a team builder and leader in hiring, developing, and managing high-performing teams
Industry experience building and productionizing machine learning systems
Advanced knowledge of Python, SQL
Strong oral and written communication skills

Job Responsibility

Define and own the machine learning platform roadmap in alignment with business goals
Lead the ML platform team to design, develop, and optimize ML-based systems
Drive a culture of scientific and engineering rigor and real-world pragmatism in your team's work, particularly to quantify the impact of features on relevant engagement metrics
Collaborate with data engineers, ML algorithm engineers and product managers to coordinate timely deployments from conception to release

What we offer

equity and benefits

Fulltime

Senior Manager, Machine Learning Engineering

As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile tea...

Location

United States , McLean; New York

Salary:

229900.00 - 286200.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor’s Degree
At least 8 years of experience designing and building data-intensive solutions using distributed computing
At least 4 years of experience programming with Python, Scala, or Java
At least 3 years of experience building, scaling, and optimizing ML systems
At least 2 years of experience leading teams developing ML solutions
At least 4 years of people management experience
Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field
4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow
3+ years of experience developing performant, resilient, and maintainable code
3+ years of experience with data gathering and preparation for ML models

Job Responsibility

Design, build, and/or deliver ML models and components that solve real-world business problems
Inform ML infrastructure decisions using understanding of ML modeling techniques and issues
Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment
Collaborate as part of a cross-functional Agile team to create and enhance software
Retrain, maintain, and monitor models in production
Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale
Construct optimized data pipelines to feed ML models
Leverage continuous integration and continuous deployment best practices
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed
Use programming languages like Python, Scala, or Java

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
comprehensive, competitive, and inclusive set of health, financial and other benefits

Fulltime

Senior Manager, Machine Learning

As a Capital One Senior Lead Machine Learning Engineer (MLE), you'll be part of ...

Location

United States , McLean; Cambridge; Richmond

Salary:

209000.00 - 262400.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor’s Degree
At least 8 years of experience designing and building data-intensive solutions using distributed computing
At least 4 years of experience programming with Python, Scala, or Java
At least 3 years of experience building, scaling, and optimizing ML systems
At least 2 years of experience leading teams developing ML solutions

Job Responsibility

Design, build, and/or deliver ML models and components that solve real-world business problems
Inform ML infrastructure decisions using understanding of ML modeling techniques
Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment
Collaborate as part of a cross-functional Agile team to create and enhance software
Retrain, maintain, and monitor models in production
Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale
Construct optimized data pipelines to feed ML models
Leverage continuous integration and continuous deployment best practices
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI
Use programming languages like Python, Scala, or Java

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being

Fulltime

Senior Manager - Machine Learning

As a Senior Manager at Roku Search, you will lead a team of talented engineers a...

Location

India , Bengaluru

Salary:

Not provided

Roku

Expiration Date

Until further notice

Requirements

12+ years of experience in software engineering
3+ years of experience in managing engineering teams
Strong background and hands-on experience in Machine Learning, Natural Language Processing, and Information Retrieval
Proven track record of delivering high-quality and scalable search engine solutions
Excellent communication and collaboration skills, with the ability to work effectively across different teams and stakeholders
Passion for creating a great user experience and solving hard problems
Bachelor's degree in Computer Science, Engineering, or related field, or equivalent work experience

Job Responsibility

Manage, mentor, and grow a team of engineers and data scientists who work on search platform and ML optimizations
Define the vision, strategy, and roadmap for search relevance, platform optimizations and innovation
Oversee the design, implementation, and evaluation of search engine features and algorithms, such as query understanding, ranking, relevance, personalization, and voice search
Conduct data analysis and user research to identify search engine opportunities and challenges
Collaborate with multiple Cloud (ML and engineering) teams, product and business teams to ensure high degree of alignment, ruthless prioritization in a fast-paced, hyper-growth environment
Provide technical direction, guidance, mentoring and hands-on management
Plan for operational efficiency to scale products, programs and practices
Recruit and manage a world-class Search platform and ML engineering talent
Assimilate Roku culture and lead by example to nurture and develop it with the broader team
Identify, recommend and develop best practices to improve agility in development pace across geo-distributed teams

What we offer

Global access to mental health and financial wellness support and resources
Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension)
Vacation and other personal time off

Fulltime

Engineering Manager - Machine Learning Infrastructure

We build simple yet innovative consumer products and developer APIs that shape h...

Location

United States , New York

Salary:

216000.00 - 367200.00 USD / Year

Plaid

Expiration Date

Until further notice

Requirements

8–10 years of experience in ML infrastructure, including direct hands-on expertise as an engineer, IC/TL
2+ years of experience managing infrastructure or ML platform engineers
Proven experience delivering and operating ML or AI infrastructure at scale
Solid technical depth across ML/AI infrastructure domains (e.g., feature stores, pipelines, deployment, inference, observability)
Demonstrated ability to drive execution on complex technical projects with cross-team stakeholders
Strong communication and stakeholder management skills

Job Responsibility

Lead and support the ML Infra team, driving project execution and ensuring delivery on key commitments
Build and launch Plaid’s next-generation feature store to improve reliability and velocity of model development
Define and drive adoption of an ML Ops “golden path” for secure, scalable model training, deployment, and monitoring
Ensure operational excellence of ML pipelines, deployment tooling, and inference systems
Partner with ML product teams to understand requirements and deliver solutions that accelerate model development and iteration
Recruit, mentor, and develop engineers, fostering a collaborative and high-performing team culture

Fulltime

Senior Engineering Manager - Machine Learning

As Sr Engineering Manager for the Shopping ML team, you will join a team dedicat...

Location

United States , Sunnyvale; San Francisco; New York

Salary:

267000.00 - 297000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

MS or equivalent experience in Computer Science, Engineering, Mathematics, or related field
10+ years of industry experience in software engineering and AI/ML
5+ years of experience directly managing engineering or ML teams, with a track record of hiring, mentoring, and growing high-performance teams
Deep understanding of machine learning fundamentals, with practical experience applying them to real-world problems.
Experience working with cross-functional teams (product, science, product ops, etc.)

Job Responsibility

Define and execute the Shopping ML product and engineering roadmap and strategy, focusing on personalization and discovery experiences that enhance multiple surfaces on the Uber Eats app including the store, checkout, and s experiences.
Collaborate with product managers, data scientists, designers, and operations to identify opportunities, prioritize initiatives, and deliver ML-powered features that feel intuitive and assistive.
Develop scalable systems that help consumers easily discover and order food and groceries, while also surfacing personalized recommendations for future meals or unmet needs.
Partner with other product & engineering teams to ensure ML frameworks and capabilities are leveraged to create cohesive, delightful user experiences.
Stay on top of industry trends and emerging best practices in machine learning and personalization to ensure Uber Eats continues to lead in innovation.

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan
Eligible for various benefits

Fulltime

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Manager, Machine Learning

Job Description

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Requirements

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